Coherent Accumulation Algorithm for Maneuvering Weak Target Based on Angular-Stepped-GRFT

Yuxian Sun, Shaoqiang Chang*, Gang Wang, Zhennan Liang, Jinpeng Guo, Quanhua Liu

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

This paper proposes an improved angular stepped generalized Radon Fourier transform (angular-stepped-GRFT) algorithm for maneuvering weak target detection in synthetic wideband radar. The proposed method can achieve motion parameters estimation for the maneuvering weak target based on stepped frequency signal. On this basis, the motion compensation of maneuvering weak target and range profile focusing method are realized.

源语言英语
主期刊名Proceedings of CECNet 2022 - 12th International Conference on Electronics, Communications and Networks, CECNet 2022
编辑Antonio J. Tallon-Ballesteros
出版商IOS Press BV
424-435
页数12
ISBN(电子版)9781643683683
DOI
出版状态已出版 - 13 12月 2022
活动12th International Conference on Electronics, Communications and Networks, CECNet 2022 - Virtual, Online
期限: 4 11月 20227 11月 2022

出版系列

姓名Frontiers in Artificial Intelligence and Applications
363
ISSN(印刷版)0922-6389
ISSN(电子版)1879-8314

会议

会议12th International Conference on Electronics, Communications and Networks, CECNet 2022
Virtual, Online
时期4/11/227/11/22

指纹

探究 'Coherent Accumulation Algorithm for Maneuvering Weak Target Based on Angular-Stepped-GRFT' 的科研主题。它们共同构成独一无二的指纹。

引用此